Read the Web
Research Project at Carnegie Mellon University

NELL: Never-Ending Language Learning

Browse the Knowledge Base!

Can computers learn to read? We think so. "Read the Web" is a research project that attempts to create a computer system that learns over time to read the web. Since January 2010, our computer system called NELL (Never-Ending Language Learner) has been running continuously, attempting to perform two tasks each day:

• First, it attempts to "read," or extract facts from text found in hundreds of millions of web pages (e.g., playsInstrument(George_Harrison, guitar)).
• Second, it attempts to improve its reading competence, so that tomorrow it can extract more facts from the web, more accurately.

So far, NELL has accumulated over 50 million candidate beliefs by reading the web, and it is considering these at different levels of confidence. NELL has high confidence in 2,810,379 of these beliefs — these are displayed on this website. It is not perfect, but NELL is learning. You can track NELL's progress below or @cmunell on Twitter, browse and download its knowledge base, read more about our technical approach, or join the discussion group.

Recently-Learned Facts

instance	iteration	date learned	confidence
em_online_poker_tips_and_strategies_webpoker_room_directory_texas is a non-sports, non-electronic game	1111	06-jul-2018	96.6
inner_square is a geometric shape	1111	06-jul-2018	93.5
free_cell_phone is an item found on a table	1111	06-jul-2018	99.8
simon_king is an African person	1111	06-jul-2018	99.2
through_the_fire is a musical album	1111	06-jul-2018	100.0
john held the position of king	1115	03-sep-2018	100.0
michael_irvin plays the athletic team position wide_receiver	1113	15-aug-2018	100.0
the country liberia uses the currency dollars	1116	12-sep-2018	100.0
atlanta_hawks is a sports team that plays against magic	1111	06-jul-2018	93.8
nissan is a specific automobile maker dealer in arlington	1114	25-aug-2018	100.0